{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import networkx as nx\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.widgets import Button\n",
    "\n",
    "plt.rcParams['figure.figsize'] = (6.0, 6.0)\n",
    "\n",
    "matrixx = np.zeros((175,175))\n",
    "\n",
    "with open(\"si175.tsp\") as f:\n",
    "    row = 0\n",
    "    col = 0\n",
    "    \n",
    "    for line in f.readlines()[7:]:\n",
    "        temp = line.strip()\n",
    "        for num in temp.split(\" \"):\n",
    "            if num == \"EOF\":\n",
    "                break\n",
    "            matrixx[row, col] = int(num)\n",
    "            if col == 174:\n",
    "                row += 1\n",
    "                col = row\n",
    "            else:\n",
    "                col += 1\n",
    "            #print(num)\n",
    "            \n",
    "g=nx.from_numpy_array(matrixx)\n",
    "# buttonaxe = plt.axes([2, 2, 0.2, 0.1])\n",
    "# button1 = Button(buttonaxe, 'Hello Wolrd',color='khaki', hovercolor='yellow')\n",
    "nx.write_edgelist(g, \"a.edgelist\")\n",
    "nx.draw(g, pos=nx.circular_layout(g),with_labels=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[(1, (41, 49)), (2, (35, 17)), (3, (55, 45)), (4, (55, 20)), (5, (15, 30)), (6, (25, 30)), (7, (20, 50)), (8, (10, 43)), (9, (55, 60)), (10, (30, 60)), (11, (20, 65)), (12, (50, 35)), (13, (30, 25)), (14, (15, 10)), (15, (30, 5)), (16, (10, 20)), (17, (5, 30)), (18, (20, 40)), (19, (15, 60)), (20, (45, 65)), (21, (45, 20)), (22, (45, 10)), (23, (55, 5)), (24, (65, 35)), (25, (65, 20)), (26, (45, 30)), (27, (35, 40)), (28, (41, 37)), (29, (64, 42)), (30, (40, 60)), (31, (31, 52)), (32, (35, 69)), (33, (53, 52)), (34, (65, 55)), (35, (63, 65)), (36, (2, 60)), (37, (20, 20)), (38, (5, 5)), (39, (60, 12)), (40, (40, 25)), (41, (42, 7)), (42, (24, 12)), (43, (23, 3)), (44, (11, 14)), (45, (6, 38)), (46, (2, 48)), (47, (8, 56)), (48, (13, 52)), (49, (6, 68)), (50, (47, 47)), (51, (49, 58)), (52, (27, 43)), (53, (37, 31)), (54, (57, 29)), (55, (63, 23)), (56, (53, 12)), (57, (32, 12)), (58, (36, 26)), (59, (21, 24)), (60, (17, 34)), (61, (12, 24)), (62, (24, 58)), (63, (27, 69)), (64, (15, 77)), (65, (62, 77)), (66, (49, 73)), (67, (67, 5)), (68, (56, 39)), (69, (37, 47)), (70, (37, 56)), (71, (57, 68)), (72, (47, 16)), (73, (44, 17)), (74, (46, 13)), (75, (49, 11)), (76, (49, 42)), (77, (53, 43)), (78, (61, 52)), (79, (57, 48)), (80, (56, 37)), (81, (55, 54)), (82, (15, 47)), (83, (14, 37)), (84, (11, 31)), (85, (16, 22)), (86, (4, 18)), (87, (28, 18)), (88, (26, 52)), (89, (26, 35)), (90, (31, 67)), (91, (15, 19)), (92, (22, 22)), (93, (18, 24)), (94, (26, 27)), (95, (25, 24)), (96, (22, 27)), (97, (25, 21)), (98, (19, 21)), (99, (20, 26)), (100, (18, 18)), (101, (35, 35))]\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 1800x1800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import random\n",
    "import tsplib95 as tsp\n",
    "import networkx as nx\n",
    "import copy\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "pro = tsp.load(\"eil101.tsp\")\n",
    "solve = tsp.load(\"eil101.opt.tour\")\n",
    "g = pro.get_graph()\n",
    "length = len(g.nodes)\n",
    "\n",
    "cities = [(city, tuple(coord)) for city, coord in pro.node_coords.items()]\n",
    "print(cities)\n",
    "edges = [(solve.tours[0][i], solve.tours[0][i + 1]) for i in range(len(solve.tours[0])-1)]\n",
    "edges.append((solve.tours[0][0], solve.tours[0][-1]))\n",
    "def plot(g, layout, edges,T ,i):\n",
    "    fig, ax = plt.subplots(figsize=(25,25))\n",
    "    nx.draw_networkx_nodes(g,pos=layout,node_size=400)\n",
    "    nx.draw_networkx_labels(g, pos=layout, font_size=10)\n",
    "    nx.draw_networkx_edges(g, pos=layout, edgelist=edges)\n",
    "    ax.set_title(\"Temp: \" +str(T)+\"Iter:\" + str(i))\n",
    "    fig.savefig(\"{}{}.png\".format(T,i))\n",
    "    ax.clear()\n",
    "    \n",
    "plot(g, pro.node_coords, edges, 0,10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "solve.tours\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Exception ignored in: <function TransformNode.set_children.<locals>.<lambda> at 0x0000011D92049AE8>\n",
      "Traceback (most recent call last):\n",
      "  File \"c:\\python\\lib\\site-packages\\matplotlib\\transforms.py\", line 179, in <lambda>\n",
      "    target=child._parents: target.pop(sid))\n",
      "KeyboardInterrupt\n"
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-4-95179b7d016c>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m     33\u001b[0m     \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mshow\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     34\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 35\u001b[1;33m \u001b[0msimple_animation\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32m<ipython-input-4-95179b7d016c>\u001b[0m in \u001b[0;36msimple_animation\u001b[1;34m()\u001b[0m\n\u001b[0;32m     29\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     30\u001b[0m     \u001b[0mani\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0manimation\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mFuncAnimation\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfig\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0msimple_update\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mframes\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0med\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfargs\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlayout\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mG\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0max\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 31\u001b[1;33m     \u001b[0mani\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msave\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'animation_1.gif'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mwriter\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'pillow'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     32\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     33\u001b[0m     \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mshow\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\python\\lib\\site-packages\\matplotlib\\animation.py\u001b[0m in \u001b[0;36msave\u001b[1;34m(self, filename, writer, fps, dpi, codec, bitrate, extra_args, metadata, extra_anim, savefig_kwargs, progress_callback)\u001b[0m\n\u001b[0;32m   1154\u001b[0m                             \u001b[0mprogress_callback\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mframe_number\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtotal_frames\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1155\u001b[0m                             \u001b[0mframe_number\u001b[0m \u001b[1;33m+=\u001b[0m \u001b[1;36m1\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1156\u001b[1;33m                     \u001b[0mwriter\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgrab_frame\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m**\u001b[0m\u001b[0msavefig_kwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1157\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1158\u001b[0m         \u001b[1;31m# Reconnect signal for first draw if necessary\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\python\\lib\\site-packages\\matplotlib\\animation.py\u001b[0m in \u001b[0;36mgrab_frame\u001b[1;34m(self, **savefig_kwargs)\u001b[0m\n\u001b[0;32m    563\u001b[0m         \u001b[1;32mfrom\u001b[0m \u001b[0mPIL\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mImage\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    564\u001b[0m         \u001b[0mbuf\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mBytesIO\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 565\u001b[1;33m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_fig\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msavefig\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mbuf\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mdict\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0msavefig_kwargs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mformat\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m\"rgba\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    566\u001b[0m         \u001b[0mrenderer\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_fig\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcanvas\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_renderer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    567\u001b[0m         \u001b[1;31m# Using frombuffer / getbuffer may be slightly more efficient, but\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\python\\lib\\site-packages\\matplotlib\\figure.py\u001b[0m in \u001b[0;36msavefig\u001b[1;34m(self, fname, transparent, **kwargs)\u001b[0m\n\u001b[0;32m   2178\u001b[0m             \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpatch\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mset_visible\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mframeon\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2179\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2180\u001b[1;33m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcanvas\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mprint_figure\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfname\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   2181\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2182\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mframeon\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\python\\lib\\site-packages\\matplotlib\\backend_bases.py\u001b[0m in \u001b[0;36mprint_figure\u001b[1;34m(self, filename, dpi, facecolor, edgecolor, orientation, format, bbox_inches, **kwargs)\u001b[0m\n\u001b[0;32m   2080\u001b[0m                     \u001b[0morientation\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0morientation\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2081\u001b[0m                     \u001b[0mbbox_inches_restore\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0m_bbox_inches_restore\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2082\u001b[1;33m                     **kwargs)\n\u001b[0m\u001b[0;32m   2083\u001b[0m             \u001b[1;32mfinally\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2084\u001b[0m                 \u001b[1;32mif\u001b[0m \u001b[0mbbox_inches\u001b[0m \u001b[1;32mand\u001b[0m \u001b[0mrestore_bbox\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\python\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py\u001b[0m in \u001b[0;36mprint_raw\u001b[1;34m(self, filename_or_obj, *args, **kwargs)\u001b[0m\n\u001b[0;32m    440\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    441\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0mprint_raw\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfilename_or_obj\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 442\u001b[1;33m         \u001b[0mFigureCanvasAgg\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    443\u001b[0m         \u001b[0mrenderer\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_renderer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    444\u001b[0m         \u001b[1;32mwith\u001b[0m \u001b[0mcbook\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_setattr_cm\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrenderer\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdpi\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdpi\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0;31m \u001b[0m\u001b[0;31m\\\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\python\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py\u001b[0m in \u001b[0;36mdraw\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    386\u001b[0m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrenderer\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_renderer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcleared\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    387\u001b[0m         \u001b[1;32mwith\u001b[0m \u001b[0mRendererAgg\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mlock\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 388\u001b[1;33m             \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrenderer\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    389\u001b[0m             \u001b[1;31m# A GUI class may be need to update a window using this draw, so\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    390\u001b[0m             \u001b[1;31m# don't forget to call the superclass.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\python\\lib\\site-packages\\matplotlib\\artist.py\u001b[0m in \u001b[0;36mdraw_wrapper\u001b[1;34m(artist, renderer, *args, **kwargs)\u001b[0m\n\u001b[0;32m     36\u001b[0m                 \u001b[0mrenderer\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mstart_filter\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     37\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 38\u001b[1;33m             \u001b[1;32mreturn\u001b[0m \u001b[0mdraw\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0martist\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mrenderer\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     39\u001b[0m         \u001b[1;32mfinally\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     40\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0martist\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_agg_filter\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\python\\lib\\site-packages\\matplotlib\\figure.py\u001b[0m in \u001b[0;36mdraw\u001b[1;34m(self, renderer)\u001b[0m\n\u001b[0;32m   1707\u001b[0m             \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpatch\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrenderer\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1708\u001b[0m             mimage._draw_list_compositing_images(\n\u001b[1;32m-> 1709\u001b[1;33m                 renderer, self, artists, self.suppressComposite)\n\u001b[0m\u001b[0;32m   1710\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1711\u001b[0m             \u001b[0mrenderer\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mclose_group\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'figure'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\python\\lib\\site-packages\\matplotlib\\image.py\u001b[0m in \u001b[0;36m_draw_list_compositing_images\u001b[1;34m(renderer, parent, artists, suppress_composite)\u001b[0m\n\u001b[0;32m    133\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0mnot_composite\u001b[0m \u001b[1;32mor\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0mhas_images\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    134\u001b[0m         \u001b[1;32mfor\u001b[0m \u001b[0ma\u001b[0m \u001b[1;32min\u001b[0m \u001b[0martists\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 135\u001b[1;33m             \u001b[0ma\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrenderer\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    136\u001b[0m     \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    137\u001b[0m         \u001b[1;31m# Composite any adjacent images together\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\python\\lib\\site-packages\\matplotlib\\artist.py\u001b[0m in \u001b[0;36mdraw_wrapper\u001b[1;34m(artist, renderer, *args, **kwargs)\u001b[0m\n\u001b[0;32m     36\u001b[0m                 \u001b[0mrenderer\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mstart_filter\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     37\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 38\u001b[1;33m             \u001b[1;32mreturn\u001b[0m \u001b[0mdraw\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0martist\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mrenderer\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     39\u001b[0m         \u001b[1;32mfinally\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     40\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0martist\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_agg_filter\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\python\\lib\\site-packages\\matplotlib\\axes\\_base.py\u001b[0m in \u001b[0;36mdraw\u001b[1;34m(self, renderer, inframe)\u001b[0m\n\u001b[0;32m   2645\u001b[0m             \u001b[0mrenderer\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mstop_rasterizing\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2646\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2647\u001b[1;33m         \u001b[0mmimage\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_draw_list_compositing_images\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrenderer\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0martists\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   2648\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2649\u001b[0m         \u001b[0mrenderer\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mclose_group\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'axes'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\python\\lib\\site-packages\\matplotlib\\image.py\u001b[0m in \u001b[0;36m_draw_list_compositing_images\u001b[1;34m(renderer, parent, artists, suppress_composite)\u001b[0m\n\u001b[0;32m    133\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0mnot_composite\u001b[0m \u001b[1;32mor\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0mhas_images\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    134\u001b[0m         \u001b[1;32mfor\u001b[0m \u001b[0ma\u001b[0m \u001b[1;32min\u001b[0m \u001b[0martists\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 135\u001b[1;33m             \u001b[0ma\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrenderer\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    136\u001b[0m     \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    137\u001b[0m         \u001b[1;31m# Composite any adjacent images together\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\python\\lib\\site-packages\\matplotlib\\artist.py\u001b[0m in \u001b[0;36mdraw_wrapper\u001b[1;34m(artist, renderer, *args, **kwargs)\u001b[0m\n\u001b[0;32m     36\u001b[0m                 \u001b[0mrenderer\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mstart_filter\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     37\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 38\u001b[1;33m             \u001b[1;32mreturn\u001b[0m \u001b[0mdraw\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0martist\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mrenderer\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     39\u001b[0m         \u001b[1;32mfinally\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     40\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0martist\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_agg_filter\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\python\\lib\\site-packages\\matplotlib\\text.py\u001b[0m in \u001b[0;36mdraw\u001b[1;34m(self, renderer)\u001b[0m\n\u001b[0;32m    716\u001b[0m                     textrenderer.draw_text(gc, x, y, clean_line,\n\u001b[0;32m    717\u001b[0m                                            \u001b[0mtextobj\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_fontproperties\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mangle\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 718\u001b[1;33m                                            ismath=ismath, mtext=mtext)\n\u001b[0m\u001b[0;32m    719\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    720\u001b[0m         \u001b[0mgc\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrestore\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\python\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py\u001b[0m in \u001b[0;36mdraw_text\u001b[1;34m(self, gc, x, y, s, prop, angle, ismath, mtext)\u001b[0m\n\u001b[0;32m    189\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    190\u001b[0m         self._renderer.draw_text_image(\n\u001b[1;32m--> 191\u001b[1;33m             font, np.round(x - xd + xo), np.round(y + yd + yo) + 1, angle, gc)\n\u001b[0m\u001b[0;32m    192\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    193\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0mget_text_width_height_descent\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0ms\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mprop\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mismath\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\python\\lib\\site-packages\\matplotlib\\transforms.py\u001b[0m in \u001b[0;36m__array__\u001b[1;34m(self, *args, **kwargs)\u001b[0m\n\u001b[0;32m    279\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    280\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0m__array__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 281\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_points\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    282\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    283\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0mis_unit\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\python\\lib\\site-packages\\matplotlib\\transforms.py\u001b[0m in \u001b[0;36mget_points\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m   1034\u001b[0m                  \u001b[1;33m[\u001b[0m\u001b[0mp\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mp\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m1\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1035\u001b[0m                  \u001b[1;33m[\u001b[0m\u001b[0mp\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mp\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m1\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1036\u001b[1;33m                  [p[1, 0], p[1, 1]]])\n\u001b[0m\u001b[0;32m   1037\u001b[0m             \u001b[0mpoints\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mma\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfilled\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mpoints\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m0.0\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1038\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\python\\lib\\site-packages\\matplotlib\\transforms.py\u001b[0m in \u001b[0;36mtransform\u001b[1;34m(self, values)\u001b[0m\n\u001b[0;32m   1392\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1393\u001b[0m         \u001b[1;31m# Transform the values\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1394\u001b[1;33m         \u001b[0mres\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtransform_affine\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtransform_non_affine\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1395\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1396\u001b[0m         \u001b[1;31m# Convert the result back to the shape of the input values.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\python\\lib\\site-packages\\matplotlib\\transforms.py\u001b[0m in \u001b[0;36mtransform_affine\u001b[1;34m(self, points)\u001b[0m\n\u001b[0;32m   2371\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0mtransform_affine\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mpoints\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2372\u001b[0m         \u001b[1;31m# docstring inherited\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2373\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_affine\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtransform\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mpoints\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   2374\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2375\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0mtransform_non_affine\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mpoints\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\python\\lib\\site-packages\\matplotlib\\transforms.py\u001b[0m in \u001b[0;36mget_affine\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m   2399\u001b[0m         \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2400\u001b[0m             return Affine2D(np.dot(self._b.get_affine().get_matrix(),\n\u001b[1;32m-> 2401\u001b[1;33m                                 self._a.get_affine().get_matrix()))\n\u001b[0m\u001b[0;32m   2402\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2403\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0minverted\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\python\\lib\\site-packages\\matplotlib\\transforms.py\u001b[0m in \u001b[0;36mget_affine\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m   2399\u001b[0m         \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2400\u001b[0m             return Affine2D(np.dot(self._b.get_affine().get_matrix(),\n\u001b[1;32m-> 2401\u001b[1;33m                                 self._a.get_affine().get_matrix()))\n\u001b[0m\u001b[0;32m   2402\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2403\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0minverted\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m<__array_function__ internals>\u001b[0m in \u001b[0;36mdot\u001b[1;34m(*args, **kwargs)\u001b[0m\n",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m: "
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1800x1800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import networkx as nx\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib import animation\n",
    "\n",
    "\n",
    "def simple_update(num, layout, G, ax):\n",
    "    ax.clear()\n",
    "    \n",
    "#     # Draw the graph with random node colors\n",
    "    nx.draw_networkx_nodes(g,pos=layout,node_size=400)\n",
    "    nx.draw_networkx_labels(g, pos=layout, font_size=10)\n",
    "    nx.draw_networkx_edges(g, pos=layout, edgelist=ed[:num])\n",
    "\n",
    "#     # Set the title\n",
    "    ax.set_title(\"Frame {}\".format(num))\n",
    "\n",
    "\n",
    "def simple_animation():\n",
    "\n",
    "    # Build plot\n",
    "    fig, ax = plt.subplots(figsize=(25,25))\n",
    "\n",
    "    # Create a graph and layout\n",
    "    G = g\n",
    "    layout = nx.spring_layout(G)\n",
    "    \n",
    "    \n",
    "\n",
    "    ani = animation.FuncAnimation(fig, simple_update, frames=len(ed), fargs=(layout, G, ax))\n",
    "    ani.save('animation_1.gif', writer='pillow')\n",
    "\n",
    "    plt.show()\n",
    "\n",
    "simple_animation()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig, ax = plt.subplots(figsize=(25,25))\n",
    "nx.draw(g, with_labels=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "g.has_edge(95,56)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "nx.shortest_path_length(g,95,101,weight=\"weight\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1, 69, 27, 101, 53, 28, 26, 12, 80, 68, 29, 24, 54, 55, 25, 4, 39, 67, 23, 56, 75, 41, 22, 74, 72, 73, 21, 40, 58, 13, 94, 95, 97, 87, 2, 57, 15, 43, 42, 14, 44, 38, 86, 16, 61, 85, 91, 100, 98, 37, 92, 59, 93, 99, 96, 6, 89, 52, 18, 83, 60, 5, 84, 17, 45, 8, 46, 47, 36, 49, 64, 63, 90, 32, 10, 62, 11, 19, 48, 82, 7, 88, 31, 70, 30, 20, 66, 71, 65, 35, 34, 78, 81, 9, 51, 33, 79, 3, 77, 76, 50]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[(1, 69),\n",
       " (69, 27),\n",
       " (27, 101),\n",
       " (101, 53),\n",
       " (53, 28),\n",
       " (28, 26),\n",
       " (26, 12),\n",
       " (12, 80),\n",
       " (80, 68),\n",
       " (68, 29),\n",
       " (29, 24),\n",
       " (24, 54),\n",
       " (54, 55),\n",
       " (55, 25),\n",
       " (25, 4),\n",
       " (4, 39),\n",
       " (39, 67),\n",
       " (67, 23),\n",
       " (23, 56),\n",
       " (56, 75),\n",
       " (75, 41),\n",
       " (41, 22),\n",
       " (22, 74),\n",
       " (74, 72),\n",
       " (72, 73),\n",
       " (73, 21),\n",
       " (21, 40),\n",
       " (40, 58),\n",
       " (58, 13),\n",
       " (13, 94),\n",
       " (94, 95),\n",
       " (95, 97),\n",
       " (97, 87),\n",
       " (87, 2),\n",
       " (2, 57),\n",
       " (57, 15),\n",
       " (15, 43),\n",
       " (43, 42),\n",
       " (42, 14),\n",
       " (14, 44),\n",
       " (44, 38),\n",
       " (38, 86),\n",
       " (86, 16),\n",
       " (16, 61),\n",
       " (61, 85),\n",
       " (85, 91),\n",
       " (91, 100),\n",
       " (100, 98),\n",
       " (98, 37),\n",
       " (37, 92),\n",
       " (92, 59),\n",
       " (59, 93),\n",
       " (93, 99),\n",
       " (99, 96),\n",
       " (96, 6),\n",
       " (6, 89),\n",
       " (89, 52),\n",
       " (52, 18),\n",
       " (18, 83),\n",
       " (83, 60),\n",
       " (60, 5),\n",
       " (5, 84),\n",
       " (84, 17),\n",
       " (17, 45),\n",
       " (45, 8),\n",
       " (8, 46),\n",
       " (46, 47),\n",
       " (47, 36),\n",
       " (36, 49),\n",
       " (49, 64),\n",
       " (64, 63),\n",
       " (63, 90),\n",
       " (90, 32),\n",
       " (32, 10),\n",
       " (10, 62),\n",
       " (62, 11),\n",
       " (11, 19),\n",
       " (19, 48),\n",
       " (48, 82),\n",
       " (82, 7),\n",
       " (7, 88),\n",
       " (88, 31),\n",
       " (31, 70),\n",
       " (70, 30),\n",
       " (30, 20),\n",
       " (20, 66),\n",
       " (66, 71),\n",
       " (71, 65),\n",
       " (65, 35),\n",
       " (35, 34),\n",
       " (34, 78),\n",
       " (78, 81),\n",
       " (81, 9),\n",
       " (9, 51),\n",
       " (51, 33),\n",
       " (33, 79),\n",
       " (79, 3),\n",
       " (3, 77),\n",
       " (77, 76),\n",
       " (76, 50)]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import tsplib95 as tsp\n",
    "import networkx as nx\n",
    "\n",
    "pro = tsp.load(\"eil101.tsp\")\n",
    "solve = tsp.load(\"eil101.opt.tour\")\n",
    "g = pro.get_graph()\n",
    "\n",
    "solve\n",
    "\n",
    "pro.trace_tours(solve.tours)\n",
    "\n",
    "print(solve.tours[0])\n",
    "\n",
    "ed = [(x, solve.tours[0][i + 1]) for i, x in enumerate(solve.tours[0]) if i < len(solve.tours[0]) - 1]\n",
    "\n",
    "ed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "cal_path_length(solve.tours[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "init 840\n",
      "initpath [91, 85, 93, 59, 92, 37, 98, 100, 16, 61, 5, 60, 83, 8, 45, 17, 84, 99, 96, 6, 94, 95, 97, 87, 2, 57, 15, 43, 42, 14, 44, 86, 38, 13, 58, 40, 21, 73, 72, 74, 22, 41, 75, 56, 23, 39, 4, 54, 55, 25, 24, 29, 3, 77, 76, 50, 1, 69, 27, 101, 53, 28, 26, 12, 80, 68, 79, 33, 81, 9, 51, 20, 30, 70, 31, 88, 7, 82, 48, 47, 36, 49, 19, 11, 62, 10, 90, 32, 63, 64, 46, 18, 52, 89, 78, 34, 35, 71, 66, 65, 67]\n",
      "answer 836\n",
      "answer 835\n",
      "answer 829\n",
      "answer 827\n",
      "answer 822\n",
      "answer 812\n",
      "answer 807\n",
      "answer 804\n",
      "answer 801\n",
      "answer 799\n",
      "answer 791\n",
      "answer 790\n",
      "answer 782\n",
      "answer 779\n",
      "answer 775\n",
      "answer 771\n",
      "answer 770\n",
      "answer 769\n",
      "answer 761\n",
      "answer 760\n",
      "answer 759\n",
      "answer 756\n",
      "answer 754\n",
      "answer 753\n",
      "answer 743\n",
      "answer 741\n",
      "answer 738\n",
      "answer 735\n",
      "answer 732\n",
      "answer 730\n",
      "answer 729\n",
      "answer 727\n",
      "answer 726\n",
      "answer 723\n",
      "answer 722\n",
      "722\n",
      "Wall time: 2.19 s\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.8595238095238096"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "init 763\n",
      "initpath [55, 25, 39, 56, 75, 22, 74, 72, 73, 21, 40, 58, 53, 101, 27, 28, 26, 12, 80, 68, 77, 3, 79, 33, 81, 9, 51, 20, 30, 70, 31, 88, 7, 82, 48, 47, 36, 49, 19, 11, 62, 10, 90, 32, 63, 64, 46, 8, 45, 17, 84, 5, 60, 83, 18, 52, 89, 6, 94, 95, 97, 92, 59, 99, 96, 93, 85, 91, 100, 37, 98, 61, 16, 44, 14, 42, 87, 2, 57, 15, 43, 38, 86, 13, 41, 23, 67, 4, 54, 24, 29, 78, 34, 35, 71, 66, 65, 50, 76, 1, 69]\n",
      "answer 757\n",
      "answer 756\n",
      "answer 755\n",
      "answer 749\n",
      "answer 747\n",
      "747\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.9790301441677588"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## op\n",
    "#init_solution\n",
    "\n",
    "cur_node = random.choice(list(g.nodes))  # start from a random node\n",
    "solution = [cur_node]\n",
    "\n",
    "free_nodes = set(list(g.nodes))\n",
    "free_nodes.remove(cur_node)\n",
    "while free_nodes:\n",
    "    next_node = min(free_nodes, key=lambda x: g[x][cur_node]['weight'])  # nearest neighbour\n",
    "    free_nodes.remove(next_node)\n",
    "    solution.append(next_node)\n",
    "    cur_node = next_node\n",
    "init_result = cal_path_length(solution)\n",
    "\n",
    "print(\"init\", init_result)\n",
    "print(\"initpath\", solution)\n",
    "\n",
    "\n",
    "local_best = []\n",
    "local_best_result = init_result\n",
    "\n",
    "for i in range(10000):\n",
    "    solutionn = copy.deepcopy(solution)\n",
    "    local_search_op(solutionn)\n",
    "    hello = cal_path_length(solutionn)\n",
    "    if local_best_result > hello:\n",
    "\n",
    "        local_best_result = hello\n",
    "        solution = solutionn\n",
    "        print(\"answer\",hello)\n",
    "    \n",
    "print(local_best_result)\n",
    "local_best_result / init_result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "init 869\n",
      "initpath [70, 30, 20, 51, 9, 81, 33, 79, 3, 77, 76, 50, 1, 69, 27, 101, 53, 58, 40, 21, 73, 72, 74, 22, 41, 75, 56, 23, 39, 4, 54, 55, 25, 24, 29, 68, 80, 12, 26, 28, 52, 18, 60, 5, 84, 17, 45, 8, 82, 48, 47, 36, 49, 19, 11, 62, 10, 90, 32, 63, 64, 7, 88, 31, 89, 6, 94, 95, 97, 92, 59, 99, 96, 93, 85, 91, 100, 37, 98, 61, 16, 44, 14, 42, 87, 2, 57, 15, 43, 38, 86, 83, 46, 13, 78, 34, 35, 71, 66, 65, 67]\n",
      "answer 863\n",
      "answer 846\n",
      "answer 841\n",
      "answer 832\n",
      "answer 831\n",
      "answer 826\n",
      "answer 819\n",
      "answer 815\n",
      "answer 813\n",
      "answer 812\n",
      "answer 809\n",
      "answer 806\n",
      "answer 801\n",
      "answer 797\n",
      "answer 782\n",
      "answer 781\n",
      "answer 774\n",
      "answer 773\n",
      "answer 758\n",
      "answer 757\n",
      "answer 756\n",
      "answer 740\n",
      "answer 736\n",
      "answer 733\n",
      "answer 731\n",
      "answer 729\n",
      "answer 728\n",
      "answer 723\n",
      "answer 721\n",
      "answer 714\n",
      "answer 710\n",
      "answer 705\n",
      "answer 699\n",
      "answer 698\n",
      "698\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.8032220943613348"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## op2\n",
    "#init_solution\n",
    "\n",
    "cur_node = random.choice(list(g.nodes))  # start from a random node\n",
    "solution = [cur_node]\n",
    "\n",
    "free_nodes = set(list(g.nodes))\n",
    "free_nodes.remove(cur_node)\n",
    "while free_nodes:\n",
    "    next_node = min(free_nodes, key=lambda x: g[x][cur_node]['weight'])  # nearest neighbour\n",
    "    free_nodes.remove(next_node)\n",
    "    solution.append(next_node)\n",
    "    cur_node = next_node\n",
    "init_result = cal_path_length(solution)\n",
    "\n",
    "print(\"init\", init_result)\n",
    "print(\"initpath\", solution)\n",
    "\n",
    "\n",
    "local_best = []\n",
    "local_best_result = init_result\n",
    "\n",
    "for i in range(10000):\n",
    "    solutionn = copy.deepcopy(solution)\n",
    "    local_search_op2(solutionn)\n",
    "    hello = cal_path_length(solutionn)\n",
    "    if local_best_result > hello:\n",
    "\n",
    "        local_best_result = hello\n",
    "        solution = solutionn\n",
    "        print(\"answer\",hello)\n",
    "    \n",
    "print(local_best_result)\n",
    "local_best_result / init_result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101}\n",
      "init 831\n",
      "initpath [78, 34, 35, 71, 9, 51, 33, 81, 79, 3, 77, 76, 50, 1, 69, 27, 101, 53, 58, 40, 21, 73, 72, 74, 22, 41, 75, 56, 23, 39, 4, 54, 55, 25, 24, 29, 68, 80, 12, 26, 28, 52, 18, 60, 5, 84, 17, 45, 8, 82, 48, 47, 36, 49, 19, 11, 62, 10, 90, 32, 63, 64, 7, 88, 31, 70, 30, 20, 66, 65, 89, 6, 94, 95, 97, 92, 59, 99, 96, 93, 85, 91, 100, 37, 98, 61, 16, 44, 14, 42, 87, 2, 57, 15, 43, 38, 86, 83, 46, 13, 67]\n",
      "answer 829\n",
      "answer 827\n",
      "answer 818\n",
      "answer 816\n",
      "answer 801\n",
      "801\n",
      "1.273449920508744\n"
     ]
    }
   ],
   "source": [
    "import random\n",
    "import tsplib95 as tsp\n",
    "import networkx as nx\n",
    "import copy\n",
    "class LocalSearch:\n",
    "    \n",
    "\n",
    "    def __init__(self):\n",
    "       \n",
    "        self.solution = []\n",
    "        self.init_result = 0\n",
    "        pro = tsp.load(\"eil101.tsp\")\n",
    "        solve = tsp.load(\"eil101.opt.tour\")\n",
    "        self.g = pro.get_graph()\n",
    "        self.length = len(self.g.nodes)\n",
    "        self.best_path_length = self.cal_path_length(solve.tours[0])\n",
    "    \n",
    "    def cal_path_length(self,arr):\n",
    "        edges = [(x, arr[i + 1]) for i, x in enumerate(arr) if i < self.length - 1]\n",
    "        edges.append((arr[-1], arr[0]))\n",
    "        result = 0\n",
    "\n",
    "        for edge in edges:\n",
    "            lengthh = self.g[edge[0]][edge[1]]['weight']\n",
    "            result += lengthh\n",
    "        return result\n",
    "\n",
    "    def init_solution(self):\n",
    "        self.solution = []\n",
    "        self.init_result = 0\n",
    "        cur_node = random.choice(list(self.g.nodes))  # start from a random node\n",
    "        self.solution = [cur_node]\n",
    "\n",
    "        free_nodes = set(list(self.g.nodes))\n",
    "        print(free_nodes)\n",
    "        free_nodes.remove(cur_node)\n",
    "        while free_nodes:\n",
    "            next_node = min(free_nodes, key=lambda x: self.g[x][cur_node]['weight'])  # nearest neighbour\n",
    "            free_nodes.remove(next_node)\n",
    "            self.solution.append(next_node)\n",
    "            cur_node = next_node\n",
    "        self.init_result = self.cal_path_length(self.solution)\n",
    "\n",
    "        print(\"init\", self.init_result)\n",
    "        print(\"initpath\", self.solution)\n",
    "    \n",
    "    \n",
    "    def local_search_op(self,arr):\n",
    "        a, b = random.randint(0, self.length-1), random.randint(0,self.length-1)\n",
    "        while(a  == b):\n",
    "            b = random.randint(0,self.length - 1)\n",
    "        arr[a], arr[b] = arr[b], arr[a]\n",
    "    def local_search_op2(self,arr):\n",
    "        l = random.randint(2, self.length - 1)\n",
    "        i = random.randint(0, self.length - l)\n",
    "        arr[i : (i + l)] = reversed(arr[i : (i + l)])\n",
    "    def local_search_op3(self,arr):\n",
    "        a, b = random.randint(0, self.length-1), random.randint(0,self.length-1)\n",
    "        while(a  == b):\n",
    "            b = random.randint(0,self.length - 1)\n",
    "        a, b = min(a,b), max(a,b)\n",
    "    \n",
    "        rev_arr = arr[a:b]\n",
    "        arr[a:b] = rev_arr[::-1]\n",
    "    def local_search_1(self):\n",
    "        self.init_solution()\n",
    "        local_best = []\n",
    "        local_best_result = self.init_result\n",
    "\n",
    "        for i in range(10000):\n",
    "            solutionn = copy.deepcopy(self.solution)\n",
    "            self.local_search_op(solutionn)\n",
    "            hello = self.cal_path_length(solutionn)\n",
    "            if local_best_result > hello:\n",
    "\n",
    "                local_best_result = hello\n",
    "                solution = solutionn\n",
    "                print(\"answer\",hello)\n",
    "        print(local_best_result)\n",
    "        print(local_best_result / self.best_path_length)\n",
    "    def local_search_2(self):\n",
    "        self.init_solution()\n",
    "        local_best = []\n",
    "        local_best_result = self.init_result\n",
    "\n",
    "        for i in range(10000):\n",
    "            solutionn = copy.deepcopy(self.solution)\n",
    "            self.local_search_op2(solutionn)\n",
    "            hello = self.cal_path_length(solutionn)\n",
    "            if local_best_result > hello:\n",
    "\n",
    "                local_best_result = hello\n",
    "                solution = solutionn\n",
    "                print(\"answer\",hello)\n",
    "        print(local_best_result)\n",
    "        print(local_best_result / self.best_path_length)\n",
    "    def local_search_3(self):\n",
    "        self.init_solution()\n",
    "        local_best = []\n",
    "        local_best_result = self.init_result\n",
    "\n",
    "        for i in range(10000):\n",
    "            solutionn = copy.deepcopy(self.solution)\n",
    "            self.local_search_op3(solutionn)\n",
    "            hello = self.cal_path_length(solutionn)\n",
    "            if local_best_result > hello:\n",
    "\n",
    "                local_best_result = hello\n",
    "                solution = solutionn\n",
    "                print(\"answer\",hello)\n",
    "        print(local_best_result)\n",
    "        print(local_best_result / self.best_path_length)\n",
    "a = LocalSearch()\n",
    "\n",
    "a.local_search_3()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 418,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "803"
      ]
     },
     "execution_count": 418,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cur_node = 1  # start from a random node\n",
    "solution = [cur_node]\n",
    "\n",
    "free_nodes = set(list(g.nodes))\n",
    "free_nodes.remove(cur_node)\n",
    "while free_nodes:\n",
    "    next_node = min(free_nodes, key=lambda x: g[x][cur_node]['weight'])  # nearest neighbour\n",
    "    free_nodes.remove(next_node)\n",
    "    solution.append(next_node)\n",
    "    cur_node = next_node\n",
    "init_result = cal_path_length(solution)\n",
    "init_result\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 480,
   "metadata": {},
   "outputs": [],
   "source": [
    "g = []"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'tsp' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-2-9a473fbd16fd>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0ma\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mLocalSearch\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      2\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      3\u001b[0m \u001b[0ma\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mlocal_search_1\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m<ipython-input-1-2338f01da3d3>\u001b[0m in \u001b[0;36m__init__\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m      8\u001b[0m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msolution\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      9\u001b[0m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0minit_result\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;36m0\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 10\u001b[1;33m         \u001b[0mpro\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mtsp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mload\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"eil101.tsp\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     11\u001b[0m         \u001b[0msolve\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mtsp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mload\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"eil101.opt.tour\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     12\u001b[0m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mg\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mpro\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_graph\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mNameError\u001b[0m: name 'tsp' is not defined"
     ]
    }
   ],
   "source": [
    "a = LocalSearch()\n",
    "\n",
    "a.local_search_1()"
   ]
  }
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